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Tytuł artykułu

A Hilbert Transform Based Algorithm for Detection of a Complex Envelope of a Power Grid Signals : an Implementation

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Języki publikacji
EN
Abstrakty
EN
The paper presents an algorithm for detection of a complex envelope of power grid signals. The algorithm is based on a Hilbert transform. It was prepared for an analysis of a lowfrequency disturbances, but can also be used as a compex envelope source for other applications. An implementation of the algorithm in a digital signal processor was made to proof an ability of a realtime operation. Analyses with various numerical representations and input signal quantization were done. Execution times on a DSP were measured. Tests proved that the presented algorithm is able to analyze power grid signals in a real-time with satisfying performance and uncertainty.
Rocznik
Strony
13--18
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
autor
  • AGH University of Science and Technology, POLAND
Bibliografia
  • 1. IEC standard: Electromagnetic compatibility (emc), part 4–30: Testing and measurement techniques — power quality measurement methods, basic emc publication, 2000.
  • 2. IEC Standard: Electromagnetic compatibility (emc) — part 4: Testing and measurement techniques — section 15: Flickermeter – functional and design specifications, 2003.
  • 3. Axelberg P.G.V., Bollen M.H.J.: An algorithm for determining the direction to a flicker source. IEEE Transactions on Power Delivery, 2006, 21(2):755–760.
  • 4. Bień A., Duda K., Szyper M., Wetula A., Zieliński T.P., Rozkrut A.: The new measure of low-frequency energy disturbances in power system. Metrology and Measurement Systems, 2005, XI(2).
  • 5. Bień A., Szyper M., Wetula A.: Model studies on signals measured with light flicker severity meter (in polish). Proceedings of XV Symposium on Modelling and Simulation of Measurement Systems, pages 193–201, Krynica, Poland, september 2005.
  • 6. Feilat E.A.: Detection of voltage envelope using prony analysis — hilbert transform method. IEEE Transactions on Power Delivery, 2006, 21(4): 2091–2093.
  • 7. Gabor D.: Theory of communication. Procedings of the IEE, 1946, 93: 429–457.
  • 8. Huang N.E., Shen Z., Long S.R., Wu M.C., Shih H.H., Zheng Q., YenN., Chao Tung C., Liu H.H.: The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. of the Royal Soc. London A, 1998, 454: 903–995.
  • 9. Szyper M . : New time domain windows. Electronics Letters, 1995, 31(9).
  • 10. Texas Instruments Inc., TMS320C67x FastRTS Library Programmer’s Reference (spru100a.pdf), 2002.
  • 11. Texas Instruments Inc., TMS320C67x DSP Library Programmer’s Reference (spru657b.pdf), 2006.
  • 12. Welfonder E.: Least-cost dynamic interaction of power plants and power systems. Control Eng. Practice, 1997, 5(9): 1203–1216.
  • 13. Zieliński T.P.: Od teorii do cyfrowego przetwarzania sygnałów. 2002, Publisher: Nakładem Wydziału EAIiE AGH, Kraków.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-5afbba33-71e1-42c3-9a07-972546b3d66b
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